samsung SM-T505N vs samsung SM-T505N
| samsung SM-T505N | samsung SM-T505N | Difference | |
|---|---|---|---|
| Single Precision | 304 | 304 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Half Precision | 307 | 307 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Quantized | 356 | 356 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-T505N | samsung SM-T505N | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | Qualcomm Qualcomm | Qualcomm Qualcomm |
| Operating System | Android 12 | Android 12 |
| Model | samsung SM-T505N | samsung SM-T505N |
| Processor |
Qualcomm Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
Qualcomm Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Motherboard | bengal | bengal |
| Memory | 2.64 GB | 2.64 GB |
AI Performance
| samsung SM-T505N | samsung SM-T505N | Difference | |
|---|---|---|---|
| Image Classification (SP) | 141 | 141 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Image Classification (HP) | 150 | 150 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Image Classification (Q) | 227 | 227 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Image Segmentation (SP) | 189 | 189 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Image Segmentation (HP) | 190 | 190 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Image Segmentation (Q) | 308 | 308 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Pose Estimation (SP) | 726 | 726 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Pose Estimation (HP) | 724 | 724 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Pose Estimation (Q) | 671 | 671 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Object Detection (SP) | 155 | 155 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Object Detection (HP) | 158 | 158 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Object Detection (Q) | 234 | 234 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Face Detection (SP) | 386 | 386 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Face Detection (HP) | 377 | 377 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Face Detection (Q) | 572 | 572 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Depth Estimation (SP) | 479 | 479 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Depth Estimation (HP) | 523 | 523 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Depth Estimation (Q) | 559 | 559 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Style Transfer (SP) | 1447 | 1447 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Style Transfer (HP) | 1456 | 1456 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Style Transfer (Q) | 1622 | 1622 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Image Super-Resolution (SP) | 277 | 277 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Image Super-Resolution (HP) | 265 | 265 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Image Super-Resolution (Q) | 340 | 340 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Text Classification (SP) | 155 | 155 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Text Classification (HP) | 154 | 154 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Text Classification (Q) | 170 | 170 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Machine Translation (SP) | 200 | 200 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Machine Translation (HP) | 199 | 199 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
| Machine Translation (Q) | 101 | 101 | 100.0% |
| samsung SM-T505N | |||
| samsung SM-T505N | |||
